package com.atguigu.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.search.config.GulimallElasticSearchConfig;
import com.atguigu.search.constant.EsConstant;
import com.atguigu.search.service.MallSearchService;
import com.atguigu.search.vo.SearchParam;
import com.atguigu.search.vo.SearchResult;
import org.apache.catalina.Executor;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import javax.swing.*;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.Executors;
import java.util.stream.Collectors;

/**
 * @author xyouzi
 * @date 2022/7/24 11:31
 */
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Override
    public SearchResult search(SearchParam param) {
        // 动态构建查询语句
        SearchResult result = null;

        // 封装请求数据
        SearchRequest searchRequest = buildSearchRequest(param);

        try {
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);
            // 封装响应数据
            result = buildSearchResult(response, param);

        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    // 构建结果数据
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits()!=null && hits.getHits().length>0) {
            for (SearchHit hit : hits) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);

        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            long attrId = bucket.getKeyAsNumber().longValue();
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }


        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            long brandId = bucket.getKeyAsNumber().longValue();
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            String brandImg = ((ParsedStringTerms)bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandImg(brandImg);
            brandVo.setBrandName(brandName);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);

        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos =  new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));

            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);

        long total = hits.getTotalHits().value;
        result.setTotal(total);
        int totalPages = (int)total%EsConstant.PRODUCT_PAGESIZE==0?(int)total/EsConstant.PRODUCT_PAGESIZE:((int)total/EsConstant.PRODUCT_PAGESIZE);
        result.setTotalPages(totalPages);
//        System.out.println(result.getProducts());
//        for (SkuEsModel product : result.getProducts()) {
//            System.out.println(product);
//            System.out.println("____");
//        }
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i < totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);
        return result;
    }

    // 准备检索请求
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /**
         * 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();

        // must-模糊查询
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }

        // filter-过滤 三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
        }

        // filter-过滤 品牌id查询
        if (param.getBrandId()!=null && param.getBrandId().size()>0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));
        }

        // filter-过滤 按照指定属性进行查询
        if (param.getAttrs()!=null && param.getAttrs().size()>0) {
//            NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", null, ScoreMode.None);
            // attrs=1_5寸:8寸&attrs=2_16G:8G
            for (String attrStr : param.getAttrs()) {
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];
                String[] attrValues = s[1].split(":");
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrValue",attrValues));
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }

        // filter-过滤 按照库存是否有进行查询
        if (param.getHasStock() != null) {
            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));
        }

        // filter-过滤 按照价格区间
        if (!StringUtils.isEmpty(param.getSkuPrice())){
            // 1_500 _500 500_
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
        }

        sourceBuilder.query(boolQuery);

        /**
         * 排序 分页 高亮
         */
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0],order);
        }
        // from = (pageNum - 1)*pageSize
        sourceBuilder.from((int) ((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE));
        sourceBuilder.size(16);
        if (!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }

        /**
         * 聚合分析
         */
        // 品牌聚合 先用品牌id聚合出用了多少种品牌
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        // 品牌聚合-子聚合 再聚合出每一个品牌的名字和图片
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        sourceBuilder.aggregation(brand_agg);

        // 分类聚合 先用分类id聚合查出用了多少种分类
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        // 分类聚合-子聚合 再聚合出每一种分类下的分类名
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        sourceBuilder.aggregation(catalog_agg);

        // 属性聚合 先用attrId聚合出用了多少中属性
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        // 属性聚合-子聚合 再聚合出属性名，属性值
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);

        sourceBuilder.aggregation(attr_agg);


        String s = sourceBuilder.toString();
        System.out.println("构建的DSL "+s);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }
}
